To assess the usefulness and applicability of the proposed PrPM approach, we empirically investigate how conformal prediction improves the intervention policy at runtime to use the most profitable of the available resources in a way that increases the total gain. To this end, we examine the situation where resources are finite and compare the proposed approach in two stages. First, methods that either rely on predictions without confidence [1]} or with an estimate of the uncertainty level [2]}. Second, methods that are predictive and causal [3]} as state-of-the-art baselines by discussing the following evaluation questions:
